CDN加速镜像 | 设为首页 | 加入收藏夹
当前位置: 首页 资源下载 源码下载 数值算法/人工智能 matlab例程

文件名称:out-matlab SVM回归,用于实现支持向量机

  • 所属分类:
  • 标签属性:
  • 上传时间:
    2012-08-31
  • 文件大小:
    13.16mb
  • 已下载:
    2次
  • 提 供 者:
  • 相关连接:
  • 下载说明:
    别用迅雷下载,失败请重下,重下不扣分!

介绍说明--下载内容来自于网络,使用问题请自行百度

SVM回归,用于实现支持向量机(SVM

)回归拟合的问题。可以用来做一些短期的预测,如短期负荷预测。-svm regression, used to implement support vector machine (SVM

) Regression fitting problems. Can be used to do some short-term forecasts, such as short-term load forecasting.
(系统自动生成,下载前可以参看下载内容)

下载文件列表

文件名大小更新时间
43_1PointShift/
43_1PointShift/linear/
43_1PointShift/linear/1.fig
43_1PointShift/linear/2.fig
43_1PointShift/linear/4.fig
43_1PointShift/linear/data_ns.mat
43_1PointShift/linear/data_s.mat
43_1PointShift/RBF/
43_1PointShift/RBF/1.fig
43_1PointShift/RBF/2.fig
43_1PointShift/RBF/3.fig
43_1PointShift/RBF/4.fig
43_1PointShift/RBF/data_s.mat
43_1PointShift.mat
43_20PointShift.mat
98.mat
98.xls
98_1PointShift.mat
98_20PointShift.mat
b15.mat
b15.xls
b15_1PointShift.mat
b15_20PointShift.mat
b15_30PointShift.mat
bat.asv
bat.m
ca.mat
ca.xls
ca_1PointShift.mat
ca_20PointShift.mat
CorssV.asv
CrossValidation.asv
CrossValidation.m
data43.mat
Easy.asv
libsvmread.c
libsvmread.mexw32
libsvmwrite.c
libsvmwrite.mexw32
make.m
Makefile
README
scale.asv
ScaleStart.asv
ScaleStart.m
SplitAndScale.asv
svm.obj
svm_model_matlab.c
svm_model_matlab.h
svm_model_matlab.obj
SVMcg.asv
SVMcg.m
svmpredict.c
svmpredict.mexw32
svmtrain.asv
svmtrain.c
svmtrain.mexw32
TrainAndTest.asv
UnscaleStart.asv
UnscaleStart.m
不预测纯拟合,训练集43f(1-5000)测试集43f(5001-end).fig
不预测纯拟合,训练集43f(1-5000)测试集43f(5001-end).jpg
'第一组数据20点偏移,无归一化,线性核函数-c 4 -g 32.fig
43_20PointShift/
43_20PointShift/linear/
43_20PointShift/linear/1.fig
43_20PointShift/linear/2.fig
43_20PointShift/linear/4.fig
43_20PointShift/linear/data_ns.mat
43_20PointShift/linear/data_s.mat
43_20PointShift/RBF/
43_20PointShift/RBF/1.fig
43_20PointShift/RBF/2.fig
43_20PointShift/RBF/3.fig
43_20PointShift/RBF/4.fig
43_20PointShift/RBF/data_ns.mat
43_20PointShift/RBF/data_s.mat
98_1PointShift/
98_1PointShift/RBF/
98_1PointShift/RBF/1.fig
98_1PointShift/RBF/2.fig
98_1PointShift/RBF/data_s.mat
98_1PointShift/RBF/CrossValidation/
98_1PointShift/RBF/CrossValidation/1.fig
98_1PointShift/RBF/CrossValidation/2.fig
98_1PointShift/RBF/CrossValidation/3.fig
98_1PointShift/RBF/CrossValidation/4.fig
98_1PointShift/RBF/CrossValidation/最优参数下结果(没什么大区别).fig
98_1PointShift/RBF/CrossValidation/源参数结果.fig
98_20PointShift/
98_20PointShift/RBF/
98_20PointShift/RBF/1.fig
98_20PointShift/RBF/2.fig
98_20PointShift/RBF/data_s.mat
98_20PointShift/RBF/CrossValidation/
98_20PointShift/RBF/CrossValidation/1.fig
98_20PointShift/RBF/CrossValidation/2.fig
98_20PointShift/RBF/CrossValidation/3.fig
98_20PointShift/RBF/CrossValidation/4.fig
98_20PointShift/RBF/CrossValidation/最优参数下结果(没什么大区别).fig
98_20PointShift/RBF/CrossValidation/源参数结果.fig
98_20PointShift/RBF/3.fig
98_20PointShift/RBF/4.fig
98_20PointShift/RBF/data_ns.mat
98_20PointShift/linear/
98_20PointShift/linear/1.fig
98_20PointShift/linear/2.fig
98_20PointShift/linear/data_s.mat
ScaleStartNoTime.m
ScaStartNoTime.asv
ScaStartNoTime.m
UnscaleStartNoTime.m
纯拟合归一化y.fig
纯拟合不归一化y.fig
纯拟合的预测不归一化y.fig
43_1PointShift/RBF/3 4 .fig c较小.zip
43_1PointShift/RBF/-c 32 -g 9.7656e-04.fig
43_1PointShift/RBF/data_ns.mat
98_20PointShift/linear/3.fig
98_20PointShift/linear/4.fig
98_20PointShift/linear/data_ns.mat
b15_1PointShift/linear/1.fig
b15_1PointShift/linear/2.fig
b15_1PointShift/linear/3.fig
b15_1PointShift/linear/4.fig
b15_1PointShift/linear/data_ns.mat
b15_1PointShift/linear/data_s.mat
b15_1PointShift/notice.txt
b15_1PointShift/RBF/1.fig
b15_1PointShift/RBF/2.fig
b15_1PointShift/RBF/3.fig
b15_1PointShift/RBF/4.fig
b15_1PointShift/RBF/data_ns.mat
b15_1PointShift/RBF/data_s.mat
b15_20PointShift/ALL.fig
b15_20PointShift/linear/1.fig
b15_20PointShift/linear/2.fig
b15_20PointShift/linear/3.fig
b15_20PointShift/linear/4.fig
b15_20PointShift/linear/data_ns.mat
b15_20PointShift/linear/data_s.mat
b15_20PointShift/notice.txt
b15_20PointShift/RBF/1.fig
b15_20PointShift/RBF/2.fig
b15_20PointShift/RBF/3.fig
b15_20PointShift/RBF/4.fig
b15_20PointShift/RBF/data_ns.mat
b15_20PointShift/RBF/data_s.mat
ca_1PointShift/all.fig
ca_1PointShift/linear/1.fig
ca_1PointShift/linear/2.fig
ca_1PointShift/linear/3.fig
ca_1PointShift/linear/4.fig
ca_1PointShift/linear/data_ns.mat
ca_1PointShift/linear/data_s.mat
ca_1PointShift/RBF/1.fig
ca_1PointShift/RBF/2.fig
ca_1PointShift/RBF/4.fig
ca_1PointShift/RBF/data_ns.mat
ca_1PointShift/RBF/data_s.mat
ca_20PointShift/all.fig
ca_20PointShift/linear/1.fig
ca_20PointShift/linear/2.fig
ca_20PointShift/linear/3.fig
ca_20PointShift/linear/4.fig
ca_20PointShift/linear/data_ns.mat
ca_20PointShift/RBF/1.fig
ca_20PointShift/RBF/2.fig
ca_20PointShift/RBF/3.fig
ca_20PointShift/RBF/4.fig
ca_20PointShift/RBF/data_ns.mat
ca_20PointShift/RBF/data_s.mat
43_1PointShift/new/1.fig
43_1PointShift/new/2.fig
43_20PointShift/new/1.fig
43_20PointShift/new/2.fig
43_20PointShift/new/data.mat
ScalePartStartNoTime.m
43_1PointShift/part new/1.fig
43_1PointShift/part new/2.fig
43_1PointShift/part new/data.mat
1.fig
2.fig
43_1PointShift/part new/c0.25.fig
43_1PointShift/part new/c1.fig
43_1PointShift/part new/c2.fig
save_all.asv
save_all.m
ScalePartStartNoTime.asv
test.fig
test2.fig

相关说明

  • 本站资源为会员上传分享交流与学习,如有侵犯您的权益,请联系我们删除.
  • 搜珍网是交换下载平台,只提供交流渠道,下载内容来自于网络,除下载问题外,其它问题请自行百度。更多...
  • 本站已设置防盗链,请勿用迅雷、QQ旋风等下载软件下载资源,下载后用WinRAR最新版进行解压.
  • 如果您发现内容无法下载,请稍后再次尝试;或换浏览器;或者到消费记录里找到下载记录反馈给我们.
  • 下载后发现下载的内容跟说明不相乎,请到消费记录里找到下载记录反馈给我们,经确认后退回积分.
  • 如下载前有疑问,可以通过点击"提供者"的名字,查看对方的联系方式,联系对方咨询.

相关评论

暂无评论内容.

发表评论

*快速评论: 推荐 一般 有密码 和说明不符 不是源码或资料 文件不全 不能解压 纯粹是垃圾
*内  容:
*验 证 码:
搜珍网 www.dssz.com

浏览历史记录

关闭